We talked about:

• Christopher’s background
• The essence of DataOps
• Also known as Agile Analytics Operations or DevOps for Data Science
• Defining processes and automating them (defining “done” and “good”)
• The balance between heroism and fear (avoiding deferred value)
• The Lean approach
• Avoiding silos
• The 7 steps to DataOps
• Wanting to become replaceable
• DataOps is doable
• Testing tools
• DataOps vs MLOps
• The Head Chef at Data Kitchen
• What’s grilling at Data Kitchen?
• The DataOps Cookbook

Links:

• DataOps Manifesto website: https://dataopsmanifesto.org/en/
• DataOps Cookbook: https://dataops.datakitchen.io/pf-cookbook
• Recipes for DataOps Success: https://dataops.datakitchen.io/pf-recipes-for-dataops-success
• DataOps Certification Course: https://info.datakitchen.io/training-certification-dataops-fundamentals
• DataOps Blog: https://datakitchen.io/blog/
• DataOps Maturity Model: https://datakitchen.io/dataops-maturity-model/
• DataOps Webinars: https://datakitchen.io/webinars/

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